Jane Teas

40 papers receiving 1.6k citations

Peers

Jane Teas
Comparison fields: 5 of 138
  • Aquatic Science 355
  • Developmental Biology 61
  • Pathology and Forensic Medicine 317
  • Nutrition and Dietetics 198
  • Endocrinology, Diabetes and Metabolism 181
Replace Kozue Nakamura with:
Kozue Nakamura Japan
Juan José Tarín Spain
Amanat Ali Oman
Ken D. Stark Canada
D. Craig Willcox United States
Paul A Lewandowski Australia
S. Boyd Eaton United States
Bernice K. Watt United States
Roland Eghoghosoa Akhigbe Nigeria
Kebreab Ghebremeskel United Kingdom
Jane Teas relative to Kozue Nakamura Japan Kozue Nakamura's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jane Teas

Since Specialization
Citations

This map shows the geographic impact of Jane Teas's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jane Teas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jane Teas more than expected).

Fields of papers citing papers by Jane Teas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jane Teas. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jane Teas. The network helps show where Jane Teas may publish in the future.

Co-authors

The 25 scholars most cited alongside Jane Teas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jane Teas Line = papers co-authored together Jane Teas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998282
2 2004218
3 2001200
4 199592
5
Breast cancer disparities in South Carolina: early detection, special programs, and descriptive epidemiology.
200680
6 201261
7 200761
8
Dietary seaweed (Laminaria) and mammary carcinogenesis in rats.
198460
9 200957
10
Could dietary seaweed reverse the metabolic syndrome?
200948
11 200147
12 198246
13 198643
14 198138
15 201436
16 200736
17 201135
18 198133
19 200432
20 200229

About Jane Teas

Jane Teas is a scholar working on Aquatic Science, Social Psychology, Developmental Biology, Pathology and Forensic Medicine and Public Health, Environmental and Occupational Health, having authored 41 papers that have together received 1.8k indexed citations. Recurring topics across this work include Seaweed-derived Bioactive Compounds (13 papers), Primate Behavior and Ecology (7 papers), Phytoestrogen effects and research (5 papers), Nutritional Studies and Diet (4 papers), Fatty Acid Research and Health (4 papers), Echinoderm biology and ecology (3 papers), Animal Disease Management and Epidemiology (3 papers) and Nutrition, Genetics, and Disease (3 papers). The work is most often cited by research in Aquatic Science (355 citations), Developmental Biology (61 citations), Pathology and Forensic Medicine (317 citations), Nutrition and Dietetics (198 citations) and Endocrinology, Diabetes and Metabolism (181 citations). Jane Teas has collaborated with scholars based in United States, Australia and Nepal. Frequent co-authors include James Hebert, Thomas G. Hurley, Lewis E. Braverman, Sam Pino, Alan Trevor Critchley, Mohammad R. Irhimeh, Yunsheng Ma, Barbara C. Olendzki, Jeffrey S Hampl and Lawrence H. Kushi. Their work appears in journals such as Nutrition and Cancer, Journal of Applied Phycology, The Lancet, Thyroid and JNCI Journal of the National Cancer Institute.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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